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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Visualization and Exploratory Data Analysis

Visualization is a key topic for data science and data analysis, and Python provides a lot of options in terms of executing visualizations for different purposes. In this chapter, we will talk about the two most popular libraries for doing visualization in Python, namely, matplotlib and seaborn. We will also talk about the pandas capabilities for doing visualizations.

Let's look into the following various topics that we will discuss in this chapter:

  • Introducing matplotlib
  • Introducing pyplot
  • Object-oriented interfaces
  • Common customizations
  • Exploratory data analysis with seaborn and pandas
  • Analyzing the variables individually
  • The relationship between variables
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